Improved reliability-prediction and field-reliability-data analysis for field-replaceable units. - Donald S. Jackson; Himanshu Pant; Michael Tortorella (IEEE Trans. Reliab., 2002)

Reliability and security modeling in upgrading wireless backbone networks. - Chun K. Chan; Himanshu Pant (Bell Labs Tech. J., 2004)

Optimal availability and security for IMS-based VoIP networks. - Himanshu Pant; Andrew R. McGee; Uma Chandrashekhar; Steven H. Richman (Bell Labs Tech. J., 2006)

Sensei: Spoken language assessment for call center agents. - Abhishek Chandel; Abhinav Parate; Maymon Madathingal; Himanshu Pant; Nitendra Rajput; Shajith Ikbal; Om Deshmukh; Ashish Verma 001 (ASRU, 2007)

Reliability of next-generation networks with a focus on IMS architecture. - Himanshu Pant; Chi-Hung Kelvin Chu; Steven H. Richman; Ahmad M. Jrad; Gerard P. O'Reilly (Bell Labs Tech. J., 2008)

Reliability concerns for next-generation networks. - Steven H. Richman; Himanshu Pant (Bell Labs Tech. J., 2008)

Learning Neural Network Classifiers with Low Model Complexity. - Jayadeva; Himanshu Pant; Mayank Sharma; Abhimanyu Dubey; Sumit Soman; Sai Guruju; Nihal Goalla (CoRR, 2017)

Scalable Twin Neural Networks for Classification of Unbalanced Data. - Himanshu Pant; Jayadeva; Sumit Soman; Mayank Sharma (CoRR, 2017)

Large-Scale Minimal Complexity Machines Using Explicit Feature Maps. - Mayank Sharma; Jayadeva; Sumit Soman; Himanshu Pant (IEEE Trans. Syst. Man Cybern. Syst., 2017)

Twin Neural Networks for Efficient EEG Signal Classification. - Himanshu Pant; Sumit Soman; Jayadeva; Mayank Sharma (IJCNN, 2018)

Non-Mercer Large Scale Multiclass Least Squares Minimal Complexity Machines. - Mayank Sharma; Sumit Soman; Jayadeva; Himanshu Pant (IJCNN, 2018)

Half-Elliptical UWB Planar Monopole with Reconfigurable Slot Antenna for Cognitive Radio Front-End. - Santasri Koley; Himanshu Pant; Lakhindar Murmu (J. Circuits Syst. Comput., 2018)

Ultra-Sparse Classifiers Through Minimizing the VC Dimension in the Empirical Feature Space - Submitted to the Special Issue on "Off the Mainstream: Advances in Neural Networks and Machine Learning for Pattern Recognition". - Jayadeva; Mayank Sharma; Sumit Soman; Himanshu Pant (Neural Process. Lett., 2018)

Twin Neural Networks for the classification of large unbalanced datasets. - Jayadeva; Himanshu Pant; Mayank Sharma; Sumit Soman (Neurocomputing, 2019)

Complexity Controlled Generative Adversarial Networks. - Himanshu Pant; Jayadeva; Sumit Soman (CoRR, 2020)

QMCM: Minimizing Vapnik's bound on the VC dimension. - Jayadeva; Sumit Soman; Himanshu Pant; Mayank Sharma (Neurocomputing, 2020)

Neurodynamical classifiers with low model complexity. - Himanshu Pant; Sumit Soman; Jayadeva; Amit Bhaya (Neural Networks, 2020)

Twin Augmented Architectures for Robust Classification of COVID-19 Chest X-Ray Images. - Kartikeya Badola; Sameer Ambekar; Himanshu Pant; Sumit Soman; Anuradha Sural; Rajiv Narang; Suresh Chandra 001; Jayadeva (CoRR, 2021)

Credit Card Financial Fraudster Discovery with Machine Learning Classifiers. - Sudhanshu Maurya; Kartikey Sharma; Avanish Pratap Singh; Neeru Pandey Tiwari; Arpit Sharma 005; Himanshu Pant (IC3I, 2023)

Melanoma Skin Cancer Detection Using Deep Learning Techniques. - Arya Kashikar; Sudhanshu Maurya; Himanshu Pant; Parbhat Gupta; Deepak Suresh Asudani; Ajay Kumar Yadav (IC3I, 2024)